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1Dissertation/ Thesis
المؤلفون: TOMASSINI, SELENE
المساهمون: Tomassini, Selene, DRAGONI, Aldo Franco, BURATTINI, Laura, CHIARALUCE, Franco
مصطلحات موضوعية: bioingegneria, radiologia, imaging radiologico, analisi 3D, intelligenza artificiale in diagnostica, apprendimento profondo supervisionato, reti neurali profonde, algoritmi di supporto decisionale clinico, sistemi diagnostici computerizzati, tomografia computerizzata, risonanza magnetica, caratterizzazione automatica dell'istologia del cancro polmonare, cancro polmonare a cellule non-piccole, classificazione automatica dei disordini neurologici, morbo di Alzheimer, morbo di Parkinson, schizofrenia, bioengineering, radiology, radiological imaging, 3D analysi, artificial intelligence in diagnostic, deep supervised learning, deep neural network, clinical decision-support algorithm, computer-aided diagnosis system, computed tomography, magnetic resonance, lung cancer histology automatic characterization, non-small cell lung cancer
Relation: https://hdl.handle.net/11566/315318
الاتاحة: https://hdl.handle.net/11566/315318
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2Academic Journal
المؤلفون: Sant, Kirsty
مصطلحات موضوعية: Brain -- Hemorrhage, Neural networks (Computer science), Artificial intelligence -- Brain -- Diagnostic services
Relation: Sant, K. (2018). Blood in the brain. THINK Magazine, 25, 15.; https://www.um.edu.mt/library/oar//handle/123456789/35862
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3Conference
المؤلفون: Tamilselvan, Prasanna, Wang, Yibin, Wang, Pingfeng
مصطلحات موضوعية: Fault diagnosis, Artificial intelligence in diagnostic classification, Deep belief networks
وصف الملف: application/octet-stream
Relation: 2012 IEEE Aerospace Conference; Tamilselvan, Prasanna; Wang, Yibin; Wang, Pingfeng. 2012. Deep belief network based state classification for structural health diagnosis. 2012 IEEE Aerospace Conference; WOS:000309105303086; http://hdl.handle.net/10057/5397; http://dx.doi.org/10.1109/AERO.2012.6187366
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4Book
المؤلفون: Revett, K., Gorunescu, F., Gorunescu, M., Ene, M.
مصطلحات موضوعية: diseases learning (artificial intelligence) medical diagnostic computing neural nets probability rough set theory, gram stain, antibiotic treatment, automated diagnosis, bacterial meningitis, blood, cerebrospinal fluid, clinical dataset, dimensionality reduction, machine learning, probabilistic neural network, rough sets, viral meningitis
وصف الملف: application/pdf
Relation: https://westminsterresearch.westminster.ac.uk/download/5fd22a934113727f1fc5543838a80166bc5014c730c6f90cd263bb9a895bb5e9/243399/Revett,_Gorunescu,_Ene_2006_final.pdf; https://doi.org/10.1109/JVA.2006.2; Revett, K., Gorunescu, F., Gorunescu, M. and Ene, M. 2006. A machine learning approach to differentiating bacterial from viral meningitis. in: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) Los Alamitos, USA IEEE . pp. 155-162
الاتاحة: https://westminsterresearch.westminster.ac.uk/item/92718/a-machine-learning-approach-to-differentiating-bacterial-from-viral-meningitis
https://westminsterresearch.westminster.ac.uk/download/5fd22a934113727f1fc5543838a80166bc5014c730c6f90cd263bb9a895bb5e9/243399/Revett,_Gorunescu,_Ene_2006_final.pdf
https://doi.org/10.1109/JVA.2006.2 -
5Academic Journal
المؤلفون: Tamilselvan, Prasanna, Wang, Pingfeng
مصطلحات موضوعية: Fault diagnosis, Artificial intelligence in diagnostic classification, Deep belief networks
Relation: Reliability Engineering & System Safety;Available online 13 March 2013; Tamilselvan, Prasanna; Wang, Pingfeng. 2013. Failure Diagnosis Using Deep Belief Learning based Health State Classification. Reliability Engineering & System Safety, Available online 13 March 2013; http://dx.doi.org/10.1016/j.ress.2013.02.022; http://hdl.handle.net/10057/5566